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roktimsardar123
/
ARI

Text-to-Image
Diffusers
Trained with AutoTrain
Model card Files Files and versions
xet
Community

Instructions to use roktimsardar123/ARI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use roktimsardar123/ARI with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("roktimsardar123/ARI", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "photo of a wvyari woman"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
ARI
24.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
roktimsardar123's picture
roktimsardar123
End of training
a68d871 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • ARI.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    525 kB
    xet
    Upload ARI.zip about 2 years ago
  • README.md
    236 Bytes
    End of training about 2 years ago
  • WVYARI.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    730 kB
    xet
    Upload WVYARI.zip about 2 years ago
  • prompt.txt
    23 Bytes
    End of training about 2 years ago
  • pytorch_lora_weights.safetensors
    23.4 MB
    xet
    End of training about 2 years ago
  • training_params.json
    1.4 kB
    End of training about 2 years ago